{"id":"W2529727014","doi":"10.1016/j.ssmph.2016.09.013","title":"Inter-individual inequality in BMI: An analysis of Indonesian Family Life Surveys (1993–2007)","year":2016,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Kempe Foundation; Umeå Universitet; Harvard University; Umeå centrum för genusstudier, Umeå Universitet","keywords":"Demography; Percentile; Body mass index; Overweight; Obesity; Socioeconomic status; Population; Inequality; Medicine; Gerontology; Statistics; Mathematics; Sociology; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271466,0.0002298711,0.0003104489,0.001175322,0.0003089816,0.0004902121,0.0004025739,0.0002420835,0.0007277757],"category_scores_gemma":[0.002144851,0.0002258849,0.000707464,0.002573805,0.0002257233,0.0004030688,0.0006771426,0.0005456598,0.0002346731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008698829,"about_ca_system_score_gemma":0.000512796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07314497,"about_ca_topic_score_gemma":0.06548376,"domain_scores_codex":[0.9993671,0.0001811973,0.00009446235,0.0001297455,0.0001195689,0.0001079535],"domain_scores_gemma":[0.9986474,0.0002253504,0.0006740698,0.0001416434,0.0001933642,0.0001182587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003880859,0.00002336852,0.9964368,0.00001668112,0.00007920343,0.00004494154,0.0001722675,0.0002209517,0.00007470022,0.00002706224,0.0003083441,0.002556962],"study_design_scores_gemma":[4.545363e-7,0.000004864296,0.9994497,0.000003061105,0.0000079153,0.00002620853,0.00009466804,0.0002882272,0.00001748884,0.000004596489,0.0001011223,0.000001689062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955218,0.0001903391,0.0002547682,0.0000646456,0.000005351517,0.00001269408,0.00353536,0.000005679968,0.0004094504],"genre_scores_gemma":[0.9949871,0.0001454226,0.0003868513,0.00003099188,0.000006065675,0.00003129796,0.004182072,0.000003508642,0.0002267102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07314497,"threshold_uncertainty_score":0.1454384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09042011150509137,"score_gpt":0.3754910499216472,"score_spread":0.2850709384165558,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}